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Zach Anderson Feb 26, 2025 12:07 LangChain introduces OpenEvals and AgentEvals to streamline evaluation processes for large language models, offering pre-built tools and frameworks for developers. LangChain, a prominent player in the field of artificial intelligence, has launched two new packages, OpenEvals and AgentEvals, aimed at simplifying the evaluation process for large language models (LLMs). These packages provide developers with a robust framework and a set of evaluators to streamline the assessment of LLM-powered applications and agents, according to LangChain. Understanding the Role of Evaluations Evaluations, often referred to as evals, are crucial in determining the quality of LLM outputs. They involve two primary components: the data being evaluated and the metrics used for evaluation. The quality of the data significantly impacts the evaluation’s ability to reflect real-world usage. LangChain emphasizes the importance of curating a high-quality dataset tailored to specific use cases. The metrics for evaluation are typically customized based on the application’s goals. To address common evaluation needs, LangChain developed OpenEvals and AgentEvals, sharing pre-built solutions that highlight prevalent evaluation trends and best practices. Common Evaluation Types and Best Practices OpenEvals and AgentEvals focus on two main approaches to evaluations: Customizable Evaluators: The LLM-as-a-judge evaluations, which are widely applicable, allow developers to adapt pre-built examples to their specific needs. Specific Use Case Evaluators: These are designed for particular applications, such as extracting structured content from documents or managing tool calls and agent trajectories. LangChain plans to expand these libraries to include more targeted evaluation techniques. LLM-as-a-Judge Evaluations LLM-as-a-judge evaluations are prevalent due to their utility in assessing natural language outputs. These evaluations can be reference-free, enabling objective assessment without needing ground truth answers. OpenEvals aids this process by providing customizable starter prompts, incorporating few-shot examples, and generating reasoning comments for transparency. Structured Data Evaluations For applications that require…

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Filed under: News - @ February 27, 2025 9:21 am